uric acid has been researched along with Metabolically Benign Obesity in 8 studies
Uric Acid: An oxidation product, via XANTHINE OXIDASE, of oxypurines such as XANTHINE and HYPOXANTHINE. It is the final oxidation product of purine catabolism in humans and primates, whereas in most other mammals URATE OXIDASE further oxidizes it to ALLANTOIN.
uric acid : An oxopurine that is the final oxidation product of purine metabolism.
6-hydroxy-1H-purine-2,8(7H,9H)-dione : A tautomer of uric acid having oxo groups at C-2 and C-8 and a hydroxy group at C-6.
7,9-dihydro-1H-purine-2,6,8(3H)-trione : An oxopurine in which the purine ring is substituted by oxo groups at positions 2, 6, and 8.
| Excerpt | Relevance | Reference |
|---|---|---|
| " In the stratified analysis by uric acid levels, the prevalence of NAFLD was significantly higher in participants with MHO, MUNW, and MUO in the hyperuricemia group than those in the normal uric acid group, and the interaction effect of metabolic phenotypes and uric acid on NAFLD was statistical significant (P < 0." | 4.31 | Hyperuricemia as an effect modifier of the association between metabolic phenotypes and nonalcoholic fatty liver disease in Chinese population. ( Li, X; Miao, Y; Zhang, Q; Zhang, Y; Zheng, J, 2023) |
| " Our aim was to identify the frequency of MHO in obese subjects, to assess the potential associations of demographic characteristics, serum uric acid, alanine transaminase (ALT), pediatric nonalcoholic fatty liver disease fibsosis score probability (PNFS p) with MHO status and to evaluate the differences between MHO and metabolically unhealthy obesity (MUO) with regard to metabolic syndrome surrogates." | 4.31 | Comparative analyses of surrogates of metabolic syndrome in children and adolescents with metabolically healthy obesity vs. metabolically unhealthy obesity according to Damanhoury's criteria. ( Ada, Hİ; Cakir, AD; Mohamad, R; Uçar, A, 2023) |
| " We also tested whether the addition of an insulin resistance index (HOMA-index >90th percentile by sex and age) and the presence of hyperuricemia (serum uric acid >90th percentile by sex and age) to the definition of MUO better identified obese children with early cardiac damage." | 4.12 | Association of obesity phenotypes with left ventricular mass index and left ventricular hypertrophy in children and adolescents. ( Antolini, L; Genovesi, S; Giussani, M; Lieti, G; Montemerlo, M; Orlando, A; Parati, G; Patti, I; Tassistro, E, 2022) |
| "In a multi-center study (n=2495), we used unsupervised machine learning to cluster patients with obesity from Shanghai Tenth People's hospital (n=882, main cohort) based on three clinical variables (AUCs of glucose and of insulin during OGTT, and uric acid)." | 4.02 | Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study. ( Arefan, D; Cheng, X; Du, L; Feng, W; Gao, L; Lin, Z; Liu, Y; Ma, C; Qu, S; Wu, S; You, H; Yu, J; Zhou, D; Zhu, D; Zhu, J, 2021) |
| " Uric acid concentration associated with metabolic health when abdominal obesity was excluded." | 3.85 | Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents. ( Aldhoon-Hainerová, I; Hainer, V; Zamrazilová, H, 2017) |
| "Hyperuricemia was defined as SUA ≥7mg/dl (420mmol/L) in men or ≥6mg/dl (360mmol/L) in women." | 1.43 | Metabolically healthy obesity also has risk for hyperuricemia among Chinese general population: A cross-sectional study. ( Chen, Y; Guo, X; Sun, G; Sun, Y; Yang, H; Yu, S; Zhang, N; Zheng, L, 2016) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 3 (37.50) | 24.3611 |
| 2020's | 5 (62.50) | 2.80 |
| Authors | Studies |
|---|---|
| Cho, AY | 1 |
| Roh, JG | 1 |
| Shim, YS | 1 |
| Lee, HS | 1 |
| Hwang, JS | 1 |
| Genovesi, S | 1 |
| Tassistro, E | 1 |
| Giussani, M | 1 |
| Lieti, G | 1 |
| Patti, I | 1 |
| Orlando, A | 1 |
| Montemerlo, M | 1 |
| Antolini, L | 1 |
| Parati, G | 1 |
| Zheng, J | 1 |
| Li, X | 1 |
| Zhang, Y | 1 |
| Miao, Y | 1 |
| Zhang, Q | 1 |
| Mohamad, R | 1 |
| Cakir, AD | 1 |
| Ada, Hİ | 1 |
| Uçar, A | 1 |
| Lin, Z | 1 |
| Feng, W | 1 |
| Liu, Y | 1 |
| Ma, C | 1 |
| Arefan, D | 1 |
| Zhou, D | 1 |
| Cheng, X | 1 |
| Yu, J | 1 |
| Gao, L | 1 |
| Du, L | 1 |
| You, H | 1 |
| Zhu, J | 1 |
| Zhu, D | 1 |
| Wu, S | 1 |
| Qu, S | 1 |
| Aldhoon-Hainerová, I | 1 |
| Hainer, V | 1 |
| Zamrazilová, H | 1 |
| De Pergola, G | 1 |
| Giagulli, VA | 1 |
| Bartolomeo, N | 1 |
| Gaeta, F | 1 |
| Petruzzella, A | 1 |
| Guastamacchia, E | 1 |
| Triggiani, V | 1 |
| Silvestris, F | 1 |
| Chen, Y | 1 |
| Zhang, N | 1 |
| Sun, G | 1 |
| Guo, X | 1 |
| Yu, S | 1 |
| Yang, H | 1 |
| Zheng, L | 1 |
| Sun, Y | 1 |
| Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
|---|---|---|---|---|---|---|---|
| Data-driven Clustering for Metabolic Classification of Obesity Using Machine Learning[NCT04282837] | 2,495 participants (Actual) | Observational | 2020-03-01 | Completed | |||
| [information is prepared from clinicaltrials.gov, extracted Sep-2024] | |||||||
8 other studies available for uric acid and Metabolically Benign Obesity
| Article | Year |
|---|---|
Biochemical predictors of metabolically unhealthy obesity in children and adolescents.
Topics: Adolescent; Child; Female; Glucose Tolerance Test; Humans; Insulin Resistance; Male; Obesity, Metabo | 2022 |
Association of obesity phenotypes with left ventricular mass index and left ventricular hypertrophy in children and adolescents.
Topics: Child; Female; Humans; Hypertrophy, Left Ventricular; Hyperuricemia; Insulin Resistance; Male; Metab | 2022 |
Hyperuricemia as an effect modifier of the association between metabolic phenotypes and nonalcoholic fatty liver disease in Chinese population.
Topics: Body Mass Index; East Asian People; Humans; Hyperuricemia; Metabolic Syndrome; Non-alcoholic Fatty L | 2023 |
Comparative analyses of surrogates of metabolic syndrome in children and adolescents with metabolically healthy obesity vs. metabolically unhealthy obesity according to Damanhoury's criteria.
Topics: Body Mass Index; Child; Female; Humans; Hyperuricemia; Metabolic Syndrome; Obesity, Metabolically Be | 2023 |
Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.
Topics: Adult; Blood Glucose; Body Mass Index; China; Comorbidity; Female; Glucose Tolerance Test; Humans; H | 2021 |
Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents.
Topics: Adolescent; Alanine Transaminase; Biomarkers; C-Reactive Protein; Czech Republic; Diet; Diet, Health | 2017 |
Independent Relationship between Serum Osteocalcin and Uric Acid in a Cohort of Apparently Healthy Obese Subjects.
Topics: Adult; Biomarkers; Blood Glucose; Blood Pressure; Body Mass Index; Female; Health Status; Humans; Li | 2017 |
Metabolically healthy obesity also has risk for hyperuricemia among Chinese general population: A cross-sectional study.
Topics: Adult; Aged; Body Mass Index; China; Cross-Sectional Studies; Female; Health Status; Humans; Hyperur | 2016 |